jblas is a fast linear algebra library for Java. jblas is based
on BLAS and LAPACK, the de-facto industry standard for matrix
computations, and uses state-of-the-art implementations like ATLAS
for all its computational routines, making jBLAS very fast.

jblas can is essentially a light-wight wrapper around the BLAS
and LAPACK routines. These packages have originated in the Fortran
community which explains their often archaic API. On the other hand
modern implementations are hard to beat performance wise. jblas
aims to make this functionality available to Java programmers such
that they do not have to worry about writing JNI interfaces and
calling conventions of Fortran code.

Currently, Linux (i386/amd64), Mac OS
X (i386/x86_64) and Windows (i386) are covered. Currently, only
limited support for amd64 on Windows (full functionality, but not
the same
performance). Read
here why.